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Impulsive Control on the Exponential Stability of Neural Networks Involving Conformable Derivative

Year: 2026

Type: article

Abstract: Exponential stability of an impulsive artificial neural network model is investigated using a Lyapunov function. Impulsive control mechanisms, characterized by discrete and sudden interventions, are analyzed for their profound impact on the dynamical behavior of neural networks. It is shown that the stability of the equilibrium depends on the impulse effect.

Source: Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics

DOI: 10.31801/cfsuasmas.1667688

Authors: Levent Furkan Direkçi, Musa Emre Kavgacı, Fatma Karakoç

Institution: Ankara University

Language: English

Topic: Neural Networks Stability and Synchronization

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W7166736161

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Cites: 42

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